{"title":"Distribution big data technology of active distribution Network based on edge computing","authors":"Wei Zhang, Tianjun Wang, Hao Wang","doi":"10.1145/3501409.3501637","DOIUrl":null,"url":null,"abstract":"Aiming at the problems of cloud communication and storage congestion and computing delay caused by massive heterogeneous distribution data, a hierarchical architecture model of active distribution network based on edge computing was proposed. Firstly, the edge computing framework based on the functional architecture of industrial Internet is proposed, and the internal and external interaction modes of edge computing node data are specifically sorted out. According to the established data interaction modes, the interactive processing mechanism of cloud-edge collaboration is proposed. Then, according to the logical protocol and physical architecture of active distribution network, the hierarchical architecture model of active distribution network based on edge computing is established to collect, interact and monitor the operating status, operating environment and electricity quantity data of distribution equipment. Finally, based on big data technology, the typical application scenarios of edge computing technology in actual power distribution are analyzed, and the efficiency, real-time, security and accuracy of edge computation-based power distribution big data system for local data storage and processing are verified.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501637","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Aiming at the problems of cloud communication and storage congestion and computing delay caused by massive heterogeneous distribution data, a hierarchical architecture model of active distribution network based on edge computing was proposed. Firstly, the edge computing framework based on the functional architecture of industrial Internet is proposed, and the internal and external interaction modes of edge computing node data are specifically sorted out. According to the established data interaction modes, the interactive processing mechanism of cloud-edge collaboration is proposed. Then, according to the logical protocol and physical architecture of active distribution network, the hierarchical architecture model of active distribution network based on edge computing is established to collect, interact and monitor the operating status, operating environment and electricity quantity data of distribution equipment. Finally, based on big data technology, the typical application scenarios of edge computing technology in actual power distribution are analyzed, and the efficiency, real-time, security and accuracy of edge computation-based power distribution big data system for local data storage and processing are verified.